Supervised AI Documentation
  • 👋Welcome to Supervised!
  • About us
    • 🚀Our History
      • Before 2023
      • The Waitlist
      • The v1.0 Platform
      • The v2.0 Platform
  • Supervised v2.0
    • 👋Meet Supervised (v2.0)
  • Features
    • 🤝AI Apps vs Models
    • ☑️The Right Way to Train Models
    • 👮Licensing
    • 🎰Integrations
  • Pricing
    • 💰Supervised free vs pro
    • 💰Supervised Pro Pricing
    • 💰Supervised Addon Pricing
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  1. Features

AI Apps vs Models

PreviousMeet Supervised (v2.0)NextThe Right Way to Train Models

Last updated 1 year ago

At Supervised, so far, you were able to build AI apps on some pre-defined models :

You had the option to choose between GPT-4, GPT-3, Davinci 003 and Davinci 002. However, these are the foundational models of GPT that are very generalized in solving specific doubts.

So, in the most layman sense, you can tell that a model is the foundation of any AI engine and the AI app is a tailored alteration of the model that works on a prompt defined by the makers.

Now, it might be clear to you that models (that are now available in Supervised 2.0), are basically a way to take more control your over AI apps, and tailor them around your own data set to make it unique and reliable.

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